Basic Skincare Selection Recommendation System Using Content Based Filtering Method

Authors

  • Viona Putri Ardiana Universitas Duta Bangsa Surakarta, Indonesia
  • Vihi Atina Universitas Duta Bangsa Surakarta, Indonesia
  • Nurmalitasari Nurmalitasari Universitas Duta Bangsa Surakarta, Indonesia

DOI:

https://doi.org/10.70609/gtech.v8i4.4966

Keywords:

content-based filtering, Election, RAD, Recommendation System, basic skincare

Abstract

Kumara Store offers a diverse range of cosmetics and skincare products in Mandan, Sukoharjo. Due to the extensive variety of products, customers frequently find it challenging to select basic skincare items. To address this issue, developing a recommendation system is crucial to assist customers in finding the most suitable products. This study employs the Content-Based Filtering method alongside the Rapid Application Development approach. The system features include product search and viewing capabilities, with recommendations being generated for users. Admin features allow for the management of attributes and data related to basic skincare products. The Content-Based Filtering technique recommends similar products based on their features or attributes. With 35 product samples and 6 attributes examined, the product Emina MS Pimple achieves the highest similarity score of 0.694 and will be recommended as a basic skincare product. This research can provide a foundation for future studies aimed at enhancing accuracy.

References

Adi, K., #1, N., & Sebastian, D. (2018). Pembentukan Dataset Topik Kata Bahasa Indonesia pada Twitter Menggunakan TF-IDF & Cosine Similarity. Jurnal Teknik Informatika Dan Sistem Informasi, 4, 2443–2229. https://doi.org/10.28932/jutisi.v4i3.862

Anardani, S., Yunitasari, Y., & Sussolaikah, K. (2023). Analisis Perancangan Sistem Informasi Monitoring dan Evaluasi Kerjasama Menggunakan UML. Remik, 7(1), 522–532. https://doi.org/10.33395/remik.v7i1.12070

Atina, V., & Hartanti, D. (2022). KNOWLEDGE BASED RECOMMENDATION MODELING FOR CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM. Jurnal Teknik Informatika (Jutif), 3(5), 1407–1413. https://doi.org/10.20884/1.jutif.2022.3.5.584

Handayani, Y., & Ruskan, E. L. (2024). KLIK: Kajian Ilmiah Informatika dan Komputer Sistem Pendukung Keputusan Pemilihan Sunscreen Untuk Remaja Menggunakan Kombinasi Metode SAW dan ROC. Media Online, 4(4), 2221–2234. https://doi.org/10.30865/klik.v4i4.1622

Hariyanto, D., Sastra, R., Putri, F. E., Informasi, S., Kota Bogor, K., & Komputer, T. (2021). Implementasi Metode Rapid Application Development Pada Sistem Informasi Perpustakaan. In Jurnal JUPITER (Vol. 13, Issue 1).

Hasyim Rosidi, P., Wijiyanto, W., & Atina, V. (2022). Penerapan Sistem Rekomendasi Pada Rancang Bangun Aplikasi Start-up Penyedia Informasi Event. DutaCom, 15(1). https://doi.org/10.47701/dutacom.v15i1.2004

Hidayat, N., & Hati, K. (2021). Penerapan Metode Rapid Application Development (RAD) dalam Rancang Bangun Sistem Informasi Rapor Online (SIRALINE).

Kim, H. , & P. J. (2023). Combining Machine Learning with Content-Based Filtering for Skincare Recommendations. Journal of Artificial Intelligence in Healthcare, 59(1), 87–102.

Kusumaningrum, S. D. (2021). KAJIAN PUSTAKA DALAM PENENTUAN TIPE DAN PERMASALAHAN KULIT WAJAH. In Jurnal SNATi (Vol. 1). https://www.google.com/

Liu, M. , & C. S. (2021). Enhancing Skincare Product Recommendations Using Content-Based Filtering. International Journal of Dermatology Research, 38(3), 210–222.

Murdiani, D., & Hermawan, H. (2022). PERBANDINGAN METODE WATERFALL DAN RAD (RAPID APPLICATION DEVELOPMENT) PADA PENGEMBANGAN SISTEM INFORMASI. Jurnal Teknologi Informasi), 6(1).

Retno Hariatiningsih, L. (2020). Penggunaan Skincare Dan Penerapan konsep Beauty 4.0 Pada Media Sosial (Studi Netnografi Wanita Pengguna Instagram). Journal Komunikasi, 11(2). https://doi.org/10.31294/jkom

Supriyadi, M. E., & Hadijah, S. F. (2023). PENGARUH CITRA MEREK, KUALITAS PRODUK, DAN KEMASAN PRODUK TERHADAP MINAT BELI PRODUK SKINCARE SOMETHINC (Vol. 2, Issue 2).

Wang, X. , Z. J. , & Z. L. (2022). Improving the Accuracy of Skincare Recommendations with Textual Analysis. Journal of Medical and Cosmetic Dermatology, 56(4), 305–319.

Widaningrum, I., Mustikasari, D., Arifin, R., Tsaqila, S. L., & Fatmawati, D. (2022). Algoritma Term Frequency-Inverse Document Frequency (TF-IDF) dan K-Means Clustering Untuk Menentukan Kategori Dokumen.

Yuni Puspita Sari, R. A. R. A. (2023). Content Based Filtering Dalam Pencarian Babershop Berbasis Android Di Bandar Lampung. 183–193. https://doi.org/10.5281/zenodo.8101039

Zhang, Y. , L. W. , & W. H. (2020). (2020). Content-Based Filtering for Personalized Skincare Recommendations. Journal of Cosmetic Science, 45(2), 123–134.

Published

2024-10-12

How to Cite

Basic Skincare Selection Recommendation System Using Content Based Filtering Method. (2024). G-Tech: Jurnal Teknologi Terapan, 8(4), 2154-2167. https://doi.org/10.70609/gtech.v8i4.4966